{"id":"W264394069","doi":"","title":"Incremental Urbanism from Montreal.","year":2014,"lang":"en","type":"article","venue":"Harvard Design Magazine: architecture, landscape architecture, urban design and planning","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteorology; Computer science; Environmental science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003682746,0.0005893734,0.0002261463,0.001114941,0.005608491,0.004739146,0.0006944679,0.000870095,0.06409756],"category_scores_gemma":[0.001096891,0.0003062361,0.0001885688,0.001832936,0.00529517,0.002410452,0.001940077,0.00146121,0.003055274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03131963,"about_ca_system_score_gemma":0.0124811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8356031,"about_ca_topic_score_gemma":0.9611706,"domain_scores_codex":[0.999692,0.00006236706,0.000005707695,0.00004922399,0.00009774182,0.0000929731],"domain_scores_gemma":[0.9997413,0.00004152255,0.00001114627,0.00003138327,0.00009052457,0.00008407286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003868901,0.000009604537,0.0007643762,0.00008939509,0.000007001036,0.000141026,0.003340973,0.0005415319,0.0001437219,0.4956837,0.4212968,0.07794325],"study_design_scores_gemma":[0.000003041772,0.000003618883,0.001286397,0.00005528844,0.000003342951,0.0000307777,0.0009921709,0.00008617475,0.0000914928,0.01595824,0.9814811,0.000008233905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005580606,0.03395467,0.001673027,0.02622038,0.001390249,0.00002431219,0.0009302855,0.0002051115,0.9300214],"genre_scores_gemma":[0.2801299,0.01892797,0.001906741,0.00302269,0.0006095787,0.0000529775,0.0005732179,0.0003636178,0.6944132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1643969,"threshold_uncertainty_score":0.3307301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479820564006754,"score_gpt":0.2016420052991623,"score_spread":0.1868437996590947,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}